The monitoring of the landfill sites are made possible using sensors, but the data quality issues arising from sensors persist. This research focusses on solving the problem of anomaly detection, in ...

New AI-powered anomaly detection and in-memory processing ... Anomalo, the company reinventing enterprise data quality, is adding a major innovation, Workflows, to its second product Unstructured Data ...

BreatheEasyR is an R-based system for real-time monitoring, anomaly detection, and visualization of air quality data across major global cities. It fetches live pollution and Air Quality Index (AQI) ...

The image displays a diagram showing how the data ... to the overall objective of bridge health monitoring by checking data quality and reliability. The data quality checks that come with anomaly ...

Internet Of Things,Abnormal Data,Anomaly Detection,Block Diagram,Blood Pressure,Blood Pressure Data,Clean Water,Data Integration,Data Normalization,Data Privacy,Data ...

The objective of this research is to analyze real-time monitoring water quality parameters and to conduct a comprehensive investigation case studies of water quality incidents that correlate with ...

The model is trained on monitoring data collected during the normal operational phase of slopes, extracting features from normal data to reconstruct the original data. The trained model is then ...

A research team led by Prof. Zhang Tianshu at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

These monitors let residents track pollution coming from traffic ... The agency terminated another grant the organization received to launch a similar air monitoring network near the Delaware City ...

As microplastics increasingly become part of everyday life, it’s essential to understand their impact on the environment and ...

Community groups in Louisiana have filed a federal lawsuit alleging a state law that regulates air-pollution monitoring violates their constitutional rights. Private organizations have been using ...